To gather together for a better world: Understanding and leveraging communities in micro-lending recommendation

Jaegul Choo, Daniel Lee, Bistra Dilkina, Hongyuan Zha, Haesun Park

Research output: Chapter in Book/Report/Conference proceedingConference contribution

14 Citations (Scopus)

Abstract

Micro-finance organizations provide non-profit lending opportunities to mitigate poverty by financially supporting impoverished, yet skilled entrepreneurs who are in desperate need of an institution that lends to them. In Kiva.org, a widely-used crowd-funded micro-financial service, a vast amount of micro-financial activities are done by lending teams, and thus, understanding their diverse characteristics is crucial in maintaining a healthy micro-finance ecosystem. As the first step for this goal, we model different lending teams by using a maximum-entropy distribution approach based on a wealthy set of heterogeneous information regarding microfinancial transactions available at Kiva. Based on this approach, we achieved a competitive performance in predicting the lending activities for the top 200 teams. Furthermore, we provide deep insight about the characteristics of lending teams by analyzing the resulting team-specific lending models. We found that lending teams are generally more careful in selecting loans by a loan's geo-location, a borrower's gender, a field partner's reliability, etc., when compared to lenders without team affiliations. In addition, we identified interesting lending behaviors of different lending teams based on lenders' background and interest such as their ethnic, religious, linguistic, educational, regional, and occupational aspects. Finally, using our proposed model, we tackled a novel problem of lending team recommendation and showed its promising performance results. Copyright is held by the International World Wide Web Conference Committee (IW3C2).

Original languageEnglish
Title of host publicationWWW 2014 - Proceedings of the 23rd International Conference on World Wide Web
PublisherAssociation for Computing Machinery, Inc
Pages249-259
Number of pages11
ISBN (Electronic)9781450327442
DOIs
Publication statusPublished - 2014 Apr 7
Externally publishedYes
Event23rd International Conference on World Wide Web, WWW 2014 - Seoul, Korea, Republic of
Duration: 2014 Apr 72014 Apr 11

Publication series

NameWWW 2014 - Proceedings of the 23rd International Conference on World Wide Web

Other

Other23rd International Conference on World Wide Web, WWW 2014
CountryKorea, Republic of
CitySeoul
Period14/4/714/4/11

Fingerprint

Finance
Linguistics
World Wide Web
Ecosystems
Entropy

Keywords

  • Community characteristics
  • Heterogeneous feature
  • Maximum entropy distribution
  • Microfinance

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Software

Cite this

Choo, J., Lee, D., Dilkina, B., Zha, H., & Park, H. (2014). To gather together for a better world: Understanding and leveraging communities in micro-lending recommendation. In WWW 2014 - Proceedings of the 23rd International Conference on World Wide Web (pp. 249-259). (WWW 2014 - Proceedings of the 23rd International Conference on World Wide Web). Association for Computing Machinery, Inc. https://doi.org/10.1145/2566486.2568020

To gather together for a better world : Understanding and leveraging communities in micro-lending recommendation. / Choo, Jaegul; Lee, Daniel; Dilkina, Bistra; Zha, Hongyuan; Park, Haesun.

WWW 2014 - Proceedings of the 23rd International Conference on World Wide Web. Association for Computing Machinery, Inc, 2014. p. 249-259 (WWW 2014 - Proceedings of the 23rd International Conference on World Wide Web).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Choo, J, Lee, D, Dilkina, B, Zha, H & Park, H 2014, To gather together for a better world: Understanding and leveraging communities in micro-lending recommendation. in WWW 2014 - Proceedings of the 23rd International Conference on World Wide Web. WWW 2014 - Proceedings of the 23rd International Conference on World Wide Web, Association for Computing Machinery, Inc, pp. 249-259, 23rd International Conference on World Wide Web, WWW 2014, Seoul, Korea, Republic of, 14/4/7. https://doi.org/10.1145/2566486.2568020
Choo J, Lee D, Dilkina B, Zha H, Park H. To gather together for a better world: Understanding and leveraging communities in micro-lending recommendation. In WWW 2014 - Proceedings of the 23rd International Conference on World Wide Web. Association for Computing Machinery, Inc. 2014. p. 249-259. (WWW 2014 - Proceedings of the 23rd International Conference on World Wide Web). https://doi.org/10.1145/2566486.2568020
Choo, Jaegul ; Lee, Daniel ; Dilkina, Bistra ; Zha, Hongyuan ; Park, Haesun. / To gather together for a better world : Understanding and leveraging communities in micro-lending recommendation. WWW 2014 - Proceedings of the 23rd International Conference on World Wide Web. Association for Computing Machinery, Inc, 2014. pp. 249-259 (WWW 2014 - Proceedings of the 23rd International Conference on World Wide Web).
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